Set up the basic structure and core functionality for the application
Initialize project with UI components, core libraries, and basic app structure. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 556aa286-edd2-4cea-8583-f4fc3cfd119b
This commit is contained in:
ghaddaditw
@@ -0,0 +1,330 @@
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import { spawn, ChildProcess } from 'child_process';
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import fs from 'fs/promises';
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import path from 'path';
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import { storage } from '../storage';
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export interface VoiceProcessingResult {
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transcription: string;
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confidence: number;
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processingTime: number;
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intent?: string;
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entities?: Record<string, any>;
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}
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export interface TTSResult {
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audioBuffer: Buffer;
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processingTime: number;
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}
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class VoiceService {
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private sttModelPath: string;
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private ttsModelPath: string;
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private isInitialized: boolean = false;
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private sttProcess: ChildProcess | null = null;
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private ttsProcess: ChildProcess | null = null;
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constructor() {
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this.sttModelPath = process.env.STT_MODEL_PATH || './models/speech/base-stt';
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this.ttsModelPath = process.env.TTS_MODEL_PATH || './models/speech/base-tts';
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}
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async initialize(): Promise<boolean> {
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try {
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console.log('Initializing voice models...');
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// Check if model files exist
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const sttExists = await this.checkModelExists(this.sttModelPath);
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const ttsExists = await this.checkModelExists(this.ttsModelPath);
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if (!sttExists || !ttsExists) {
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console.error('Voice models not found. Please run model setup script.');
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return false;
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}
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// Initialize STT model (using whisper.cpp or similar)
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await this.initializeSTT();
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// Initialize TTS model (using espeak-ng or similar)
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await this.initializeTTS();
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this.isInitialized = true;
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console.log('Voice models initialized successfully');
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return true;
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} catch (error) {
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console.error('Failed to initialize voice models:', error);
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return false;
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}
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}
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private async checkModelExists(modelPath: string): Promise<boolean> {
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try {
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await fs.access(modelPath);
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return true;
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} catch {
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return false;
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}
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}
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private async initializeSTT(): Promise<void> {
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// Initialize STT process - in production, this would start the actual model
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console.log(`Loading STT model from ${this.sttModelPath}`);
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// For now, we'll simulate model loading
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await new Promise(resolve => setTimeout(resolve, 1000));
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}
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private async initializeTTS(): Promise<void> {
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// Initialize TTS process - in production, this would start the actual model
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console.log(`Loading TTS model from ${this.ttsModelPath}`);
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// For now, we'll simulate model loading
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await new Promise(resolve => setTimeout(resolve, 1000));
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}
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async processAudioToText(audioBuffer: Buffer, userId?: number): Promise<VoiceProcessingResult> {
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if (!this.isInitialized) {
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throw new Error('Voice service not initialized');
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}
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const startTime = Date.now();
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try {
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// In production, this would use actual STT processing
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// For now, we'll simulate transcription
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const transcription = await this.simulateSTT(audioBuffer);
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const confidence = 0.95; // Simulated confidence
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const processingTime = Date.now() - startTime;
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// Extract intent and entities from transcription
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const { intent, entities } = this.extractIntent(transcription);
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const result: VoiceProcessingResult = {
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transcription,
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confidence,
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processingTime,
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intent,
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entities
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};
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// Log voice command if user is provided
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if (userId) {
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await storage.createVoiceCommand({
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userId,
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command: transcription,
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transcription,
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intent,
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confidence,
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processingTime,
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successful: true
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});
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}
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return result;
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} catch (error) {
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const processingTime = Date.now() - startTime;
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if (userId) {
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await storage.createVoiceCommand({
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userId,
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command: '',
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transcription: '',
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confidence: 0,
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processingTime,
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successful: false,
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errorMessage: error instanceof Error ? error.message : 'Unknown error'
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});
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}
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throw error;
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}
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}
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async textToSpeech(text: string, voice?: string): Promise<TTSResult> {
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if (!this.isInitialized) {
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throw new Error('Voice service not initialized');
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}
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const startTime = Date.now();
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try {
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// In production, this would use actual TTS processing
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const audioBuffer = await this.simulateTTS(text, voice);
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const processingTime = Date.now() - startTime;
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return {
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audioBuffer,
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processingTime
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};
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} catch (error) {
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console.error('TTS error:', error);
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throw error;
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}
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}
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private async simulateSTT(audioBuffer: Buffer): Promise<string> {
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// Simulate STT processing delay
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await new Promise(resolve => setTimeout(resolve, 500));
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// Return a simulated transcription based on common commands
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const sampleCommands = [
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"Create task review budget reports",
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"Add expense coffee shop four dollars fifty cents",
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"Show me today's tasks",
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"What's my financial summary",
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"Schedule meeting with team for Friday",
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"Mark task as completed",
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"Add income freelance payment five hundred dollars"
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];
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return sampleCommands[Math.floor(Math.random() * sampleCommands.length)];
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}
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private async simulateTTS(text: string, voice?: string): Promise<Buffer> {
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// Simulate TTS processing delay
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await new Promise(resolve => setTimeout(resolve, 300));
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// Return a dummy audio buffer (in production, this would be actual audio)
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const dummyAudioData = Buffer.alloc(1024, 0);
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return dummyAudioData;
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}
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private extractIntent(transcription: string): { intent?: string; entities?: Record<string, any> } {
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const text = transcription.toLowerCase();
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// Simple intent recognition based on keywords
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if (text.includes('create') && (text.includes('task') || text.includes('todo'))) {
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return {
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intent: 'task_create',
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entities: this.extractTaskEntities(text)
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};
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}
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if (text.includes('add') && (text.includes('expense') || text.includes('cost'))) {
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return {
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intent: 'expense_add',
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entities: this.extractExpenseEntities(text)
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};
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}
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if (text.includes('add') && text.includes('income')) {
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return {
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intent: 'income_add',
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entities: this.extractIncomeEntities(text)
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};
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}
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if (text.includes('show') || text.includes('list') || text.includes('get')) {
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if (text.includes('task')) {
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return { intent: 'task_list' };
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}
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if (text.includes('financial') || text.includes('money') || text.includes('summary')) {
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return { intent: 'financial_summary' };
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}
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}
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if (text.includes('complete') || text.includes('done') || text.includes('finish')) {
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return { intent: 'task_complete' };
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}
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return { intent: 'unknown' };
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}
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private extractTaskEntities(text: string): Record<string, any> {
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const entities: Record<string, any> = {};
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// Extract task title (everything after "create task" or similar)
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const taskMatch = text.match(/(?:create|add|new)\s+(?:task|todo)\s+(.+)/i);
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if (taskMatch) {
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entities.title = taskMatch[1].trim();
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}
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// Extract priority
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if (text.includes('high priority') || text.includes('urgent')) {
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entities.priority = 'high';
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} else if (text.includes('low priority')) {
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entities.priority = 'low';
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} else {
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entities.priority = 'medium';
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}
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// Extract due date (simplified)
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if (text.includes('today')) {
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entities.dueDate = new Date().toISOString();
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} else if (text.includes('tomorrow')) {
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const tomorrow = new Date();
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tomorrow.setDate(tomorrow.getDate() + 1);
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entities.dueDate = tomorrow.toISOString();
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}
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return entities;
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}
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private extractExpenseEntities(text: string): Record<string, any> {
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const entities: Record<string, any> = {};
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// Extract amount
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const amountMatch = text.match(/(?:\$|dollar|dollars?)\s*(\d+(?:\.\d{2})?)|(\d+(?:\.\d{2})?)\s*(?:dollar|dollars?)/i);
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if (amountMatch) {
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entities.amount = parseFloat(amountMatch[1] || amountMatch[2]);
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}
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// Extract category/description
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const categories = ['food', 'transport', 'shopping', 'utilities', 'entertainment', 'healthcare'];
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for (const category of categories) {
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if (text.includes(category)) {
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entities.category = category;
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break;
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}
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}
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if (!entities.category) {
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entities.category = 'other';
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}
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// Extract description
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const expenseMatch = text.match(/(?:expense|spent|paid)\s+(?:for\s+)?(.+?)(?:\s+\$|\s+\d+|$)/i);
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if (expenseMatch) {
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entities.description = expenseMatch[1].trim();
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}
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return entities;
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}
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private extractIncomeEntities(text: string): Record<string, any> {
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const entities: Record<string, any> = {};
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// Extract amount
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const amountMatch = text.match(/(?:\$|dollar|dollars?)\s*(\d+(?:\.\d{2})?)|(\d+(?:\.\d{2})?)\s*(?:dollar|dollars?)/i);
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if (amountMatch) {
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entities.amount = parseFloat(amountMatch[1] || amountMatch[2]);
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}
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// Extract source/description
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const incomeMatch = text.match(/(?:income|received|earned)\s+(?:from\s+)?(.+?)(?:\s+\$|\s+\d+|$)/i);
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if (incomeMatch) {
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entities.description = incomeMatch[1].trim();
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}
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entities.category = 'income';
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return entities;
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}
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async getModelStatus(): Promise<{ stt: boolean; tts: boolean; initialized: boolean }> {
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return {
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stt: await this.checkModelExists(this.sttModelPath),
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tts: await this.checkModelExists(this.ttsModelPath),
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initialized: this.isInitialized
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};
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}
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shutdown(): void {
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if (this.sttProcess) {
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this.sttProcess.kill();
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}
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if (this.ttsProcess) {
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this.ttsProcess.kill();
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}
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this.isInitialized = false;
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}
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}
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export const voiceService = new VoiceService();
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